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Factors in Finetuning Deep Model for object detection
v1v2 (latest)

Factors in Finetuning Deep Model for object detection

20 January 2016
Wanli Ouyang
Xiaogang Wang
Cong Zhang
Xiaokang Yang
ArXiv (abs)PDFHTML

Papers citing "Factors in Finetuning Deep Model for object detection"

37 / 87 papers shown
Title
Data balancing for boosting performance of low-frequency classes in
  Spoken Language Understanding
Data balancing for boosting performance of low-frequency classes in Spoken Language Understanding
Judith Gaspers
Q. Do
Fabian Triefenbach
38
5
0
06 Aug 2020
Overcoming Classifier Imbalance for Long-tail Object Detection with
  Balanced Group Softmax
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax
Yu Li
Tao Wang
Bingyi Kang
Sheng Tang
Chunfeng Wang
Jintao Li
Jiashi Feng
164
267
0
18 Jun 2020
Intra-Processing Methods for Debiasing Neural Networks
Intra-Processing Methods for Debiasing Neural Networks
Yash Savani
Colin White
G. NaveenSundar
61
44
0
15 Jun 2020
Delving into the Imbalance of Positive Proposals in Two-stage Object
  Detection
Delving into the Imbalance of Positive Proposals in Two-stage Object Detection
Zheng Ge
Zequn Jie
Xin Huang
Chengzhen Li
Osamu Yoshie
ObjD
19
0
0
23 May 2020
Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels
Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels
Junran Peng
Xingyuan Bu
Ming Sun
Zhaoxiang Zhang
Tieniu Tan
Junjie Yan
VLMObjD
80
60
0
18 May 2020
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax
  Layer
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer
Xiaoxu Li
Dongliang Chang
Zhanyu Ma
Zheng-Hua Tan
Jing-Hao Xue
Jie Cao
Jingyi Yu
Jun Guo
99
32
0
20 Apr 2020
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets
Angelina Wang
Alexander Liu
Ryan Zhang
Anat Kleiman
Leslie Kim
Dora Zhao
Iroha Shirai
Arvind Narayanan
Olga Russakovsky
82
190
0
16 Apr 2020
Exploring Long Tail Visual Relationship Recognition with Large
  Vocabulary
Exploring Long Tail Visual Relationship Recognition with Large Vocabulary
Sherif Abdelkarim
Aniket Agarwal
Panos Achlioptas
Jun Chen
Jiaji Huang
Boyang Albert Li
Kenneth Church
Mohamed Elhoseiny
VLM
124
18
0
25 Mar 2020
1st Place Solutions for OpenImage2019 -- Object Detection and Instance
  Segmentation
1st Place Solutions for OpenImage2019 -- Object Detection and Instance Segmentation
Yu Liu
Guanglu Song
Yuhang Zang
Yan Gao
Enze Xie
Junjie Yan
Chen Change Loy
Xiaogang Wang
60
20
0
17 Mar 2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for
  Long-tailed Classification
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification
Liuyu Xiang
Guiguang Ding
Jungong Han
103
286
0
06 Jan 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep
  Learning
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning
Han-Jia Ye
Hong-You Chen
De-Chuan Zhan
Wei-Lun Chao
136
102
0
06 Jan 2020
AutoScale: Learning to Scale for Crowd Counting and Localization
AutoScale: Learning to Scale for Crowd Counting and Localization
Chenfeng Xu
Dingkang Liang
Yongchao Xu
S. Bai
Wei Zhan
X. Bai
Masayoshi Tomizuka
104
107
0
20 Dec 2019
To Balance or Not to Balance: A Simple-yet-Effective Approach for
  Learning with Long-Tailed Distributions
To Balance or Not to Balance: A Simple-yet-Effective Approach for Learning with Long-Tailed Distributions
Junjie Zhang
Lingqiao Liu
Peng Wang
Chunhua Shen
61
25
0
10 Dec 2019
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
309
804
0
05 Dec 2019
Team PFDet's Methods for Open Images Challenge 2019
Team PFDet's Methods for Open Images Challenge 2019
Yusuke Niitani
Toru Ogawa
Shuji Suzuki
Takuya Akiba
Tommi Kerola
Kohei Ozaki
Shotaro Sano
22
3
0
25 Oct 2019
Generating Positive Bounding Boxes for Balanced Training of Object
  Detectors
Generating Positive Bounding Boxes for Balanced Training of Object Detectors
Kemal Oksuz
Baris Can Cam
Emre Akbas
Sinan Kalkan
ObjD
64
24
0
21 Sep 2019
Imbalance Problems in Object Detection: A Review
Imbalance Problems in Object Detection: A Review
Kemal Oksuz
Baris Can Cam
Sinan Kalkan
Emre Akbas
ObjD
139
469
0
31 Aug 2019
Multifaceted Analysis of Fine-Tuning in Deep Model for Visual
  Recognition
Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition
Xiangyang Li
Luis Herranz
Shuqiang Jiang
201
2
0
11 Jul 2019
Large-Scale Long-Tailed Recognition in an Open World
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
155
1,164
0
10 Apr 2019
Class-Balanced Loss Based on Effective Number of Samples
Class-Balanced Loss Based on Effective Number of Samples
Huayu Chen
Menglin Jia
Nayeon Lee
Yang Song
Serge J. Belongie
202
2,294
0
16 Jan 2019
Explicit Bias Discovery in Visual Question Answering Models
Explicit Bias Discovery in Visual Question Answering Models
Varun Manjunatha
Nirat Saini
L. Davis
CMLFAtt
67
93
0
19 Nov 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
151
124
0
10 Sep 2018
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjDVLMOOD
201
2,464
0
06 Sep 2018
Small Sample Learning in Big Data Era
Small Sample Learning in Big Data Era
Jun Shu
Zongben Xu
Deyu Meng
89
72
0
14 Aug 2018
Object Detection with Deep Learning: A Review
Object Detection with Deep Learning: A Review
Zhong-Qiu Zhao
Peng Zheng
Shou-tao Xu
Xindong Wu
ObjD
157
4,025
0
15 Jul 2018
Large-scale Bisample Learning on ID Versus Spot Face Recognition
Large-scale Bisample Learning on ID Versus Spot Face Recognition
Xiangyu Zhu
Hao Liu
Zhen Lei
Hailin Shi
Fan Yang
Dong Yi
Guojun Qi
Stan Z. Li
CVBM
140
47
0
08 Jun 2018
Learning More Universal Representations for Transfer-Learning
Learning More Universal Representations for Transfer-Learning
Y. Tamaazousti
Hervé Le Borgne
C´eline Hudelot
M. Seddik
M. Tamaazousti
OODSSL
72
58
0
27 Dec 2017
Rank of Experts: Detection Network Ensemble
Rank of Experts: Detection Network Ensemble
Seung-Hwan Bae
Youngwan Lee
Y. Jo
Yuseok Bae
Joong-won Hwang
ObjD
49
5
0
01 Dec 2017
On Pre-Trained Image Features and Synthetic Images for Deep Learning
On Pre-Trained Image Features and Synthetic Images for Deep Learning
Stefan Hinterstoißer
Vincent Lepetit
Paul Wohlhart
K. Konolige
VLMObjD
54
231
0
29 Oct 2017
Scene Parsing with Global Context Embedding
Scene Parsing with Global Context Embedding
Wei-Chih Hung
Yi-Hsuan Tsai
Xiaohui Shen
Zhe Lin
Kalyan Sunkavalli
Xin Lu
Ming-Hsuan Yang
125
55
0
17 Oct 2017
Multi-label Pixelwise Classification for Reconstruction of Large-scale
  Urban Areas
Multi-label Pixelwise Classification for Reconstruction of Large-scale Urban Areas
Yuanlie He
Sudhir Mudur
Charalambos (Charis) Poullis
26
4
0
21 Sep 2017
Online Multi-Object Tracking Using CNN-based Single Object Tracker with
  Spatial-Temporal Attention Mechanism
Online Multi-Object Tracking Using CNN-based Single Object Tracker with Spatial-Temporal Attention Mechanism
Qi Chu
Wanli Ouyang
Hongsheng Li
Xiaogang Wang
Bin Liu
Nenghai Yu
VOT
75
347
0
09 Aug 2017
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600
  Papers Survey
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
Hirokatsu Kataoka
Soma Shirakabe
Yun He
S. Ueta
Teppei Suzuki
...
Ryousuke Takasawa
Masataka Fuchida
Yudai Miyashita
Kazushige Okayasu
Yuta Matsuzaki
78
1
0
20 Jul 2017
Wide-Residual-Inception Networks for Real-time Object Detection
Wide-Residual-Inception Networks for Real-time Object Detection
Youngwan Lee
Byeonghak Yim
Huieun Kim
Eunsoo Park
X. Cui
Taekang Woo
Hakil Kim
ObjD
77
32
0
04 Feb 2017
Range Loss for Deep Face Recognition with Long-tail
Range Loss for Deep Face Recognition with Long-tail
Xiao Zhang
Zhiyuan Fang
Yandong Wen
Zhifeng Li
Yu Qiao
CVBM
315
451
0
28 Nov 2016
Crafting GBD-Net for Object Detection
Crafting GBD-Net for Object Detection
Xingyu Zeng
Wanli Ouyang
Junjie Yan
Hongsheng Li
Tong Xiao
...
Yucong Zhou
Binh Yang
Zhe Wang
Hui Zhou
Xiaogang Wang
ObjD
84
138
0
08 Oct 2016
Object Detection from Video Tubelets with Convolutional Neural Networks
Object Detection from Video Tubelets with Convolutional Neural Networks
Kai Kang
Wanli Ouyang
Hongsheng Li
Xiaogang Wang
ObjD
76
377
0
14 Apr 2016
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